Hierarchical Parsing Eliminates Hallucinations in RAG Systems

Naive RAG systems destroy document context by chunking text indiscriminately, causing LLMs to hallucinate irrelevant information through keyword matching alone. Glacier.DocTree preserves semantic structure by parsing documents into hierarchical trees, enabling AI systems to understand the scope and audience of each piece of information. This shift from flat chunks to structured parsing fundamentally improves the reliability and accuracy of AI-augmented information retrieval.